Computer Programming for Beginners: The essential guide on Python with hand-on projects

Book Preface

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Table of Contents
Introduction
Chapter 1: What is the Python Language?
How to Work with the Python Language
The Benefits of Python
Chapter 2: Understanding the World of Machine Learning
What is Machine Learning?
What Can Machine Learning Be Used For?
Machine Learning vs. Artificial Intelligence
The Different Types of Machine Learning
Chapter 3: What are These Algorithms Used For?
A Look to Begin
Avoiding Error
Keep the Programmers in the Loop
What Can Machine Learning Do?
Into the Future
Chapter 4: The K-Nearest Neighbor Algorithm
Chapter 5: Creating a Neural Networks
Chapter 6: The Linear Classifier Algorithm
Chapter 7: Working with Recurrent Neural Networks
Chapter 8: Clustering Algorithms
Chapter 9: Decision Trees and Turning Them Into Random Forests
Chapter 10: The Support Vector Machines
Chapter 11: How to Work with Validation and Optimization Techniques
Techniques for Cross-Validation
The Hyperparameter Optimization
Random and Grid Search
Chapter 12: Other Algorithms That Work Well with Python Machine Learning
Naïve Bayes
Markov Algorithm
Regression Algorithms
Q-Learning
Conclusion